Overview

Dataset statistics

Number of variables8
Number of observations229
Missing cells215
Missing cells (%)11.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.9 KiB
Average record size in memory66.6 B

Variable types

Numeric2
Text6

Dataset

Description성주군 건축관련업체 업종별 현황에 관한 데이터로 업체명, 주소, 업종번호, 업종명, 종업원 수, 생산품, 홈페이지 주소를 포함하고 있습니다.
Author경상북도 성주군
URLhttps://www.data.go.kr/data/15126581/fileData.do

Alerts

공장홈페이지 has 215 (93.9%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-15 01:35:17.656803
Analysis finished2024-03-15 01:35:20.326425
Duration2.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct229
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115
Minimum1
Maximum229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-03-15T10:35:20.542344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.4
Q158
median115
Q3172
95-th percentile217.6
Maximum229
Range228
Interquartile range (IQR)114

Descriptive statistics

Standard deviation66.250786
Coefficient of variation (CV)0.57609379
Kurtosis-1.2
Mean115
Median Absolute Deviation (MAD)57
Skewness0
Sum26335
Variance4389.1667
MonotonicityStrictly increasing
2024-03-15T10:35:21.023256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
145 1
 
0.4%
147 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
Other values (219) 219
95.6%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%
221 1
0.4%
220 1
0.4%

업체명
Text

Distinct228
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-03-15T10:35:21.877660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length6.4061135
Min length2

Characters and Unicode

Total characters1467
Distinct characters223
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique227 ?
Unique (%)99.1%

Sample

1st row (주)파인패키징
2nd row(주)경농산업
3rd row(주)경동이앤에스
4th row(주)경동하이테크
5th row(주)경성목재
ValueCountFrequency (%)
주식회사 15
 
5.8%
주)금성산업 2
 
0.8%
성주공장 2
 
0.8%
태화산업사 2
 
0.8%
제2공장 2
 
0.8%
주)대도화학 2
 
0.8%
삼원테크 2
 
0.8%
현동프라스틱 1
 
0.4%
신원플라텍 1
 
0.4%
영진산업 1
 
0.4%
Other values (229) 229
88.4%
2024-03-15T10:35:23.130772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 115
 
7.8%
( 87
 
5.9%
) 87
 
5.9%
업 65
 
4.4%
산 60
 
4.1%
성 37
 
2.5%
32
 
2.2%
스 30
 
2.0%
사 28
 
1.9%
대 27
 
1.8%
Other values (213) 899
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1218
83.0%
Open Punctuation 87
 
5.9%
Close Punctuation 87
 
5.9%
Uppercase Letter 33
 
2.2%
Space Separator 32
 
2.2%
Decimal Number 7
 
0.5%
Other Symbol 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 115
 
9.4%
업 65
 
5.3%
산 60
 
4.9%
성 37
 
3.0%
스 30
 
2.5%
사 28
 
2.3%
대 27
 
2.2%
이 27
 
2.2%
회 21
 
1.7%
크 20
 
1.6%
Other values (190) 788
64.7%
Uppercase Letter
ValueCountFrequency (%)
G 5
15.2%
N 5
15.2%
E 4
12.1%
I 3
9.1%
T 3
9.1%
S 2
 
6.1%
C 2
 
6.1%
P 2
 
6.1%
F 1
 
3.0%
X 1
 
3.0%
Other values (5) 5
15.2%
Decimal Number
ValueCountFrequency (%)
2 4
57.1%
1 2
28.6%
3 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1220
83.2%
Common 214
 
14.6%
Latin 33
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 115
 
9.4%
업 65
 
5.3%
산 60
 
4.9%
성 37
 
3.0%
스 30
 
2.5%
사 28
 
2.3%
대 27
 
2.2%
이 27
 
2.2%
회 21
 
1.7%
크 20
 
1.6%
Other values (191) 790
64.8%
Latin
ValueCountFrequency (%)
G 5
15.2%
N 5
15.2%
E 4
12.1%
I 3
9.1%
T 3
9.1%
S 2
 
6.1%
C 2
 
6.1%
P 2
 
6.1%
F 1
 
3.0%
X 1
 
3.0%
Other values (5) 5
15.2%
Common
ValueCountFrequency (%)
( 87
40.7%
) 87
40.7%
32
 
15.0%
2 4
 
1.9%
1 2
 
0.9%
. 1
 
0.5%
3 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1218
83.0%
ASCII 247
 
16.8%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 115
 
9.4%
업 65
 
5.3%
산 60
 
4.9%
성 37
 
3.0%
스 30
 
2.5%
사 28
 
2.3%
대 27
 
2.2%
이 27
 
2.2%
회 21
 
1.7%
크 20
 
1.6%
Other values (190) 788
64.7%
ASCII
ValueCountFrequency (%)
( 87
35.2%
) 87
35.2%
32
 
13.0%
G 5
 
2.0%
N 5
 
2.0%
2 4
 
1.6%
E 4
 
1.6%
I 3
 
1.2%
T 3
 
1.2%
S 2
 
0.8%
Other values (12) 15
 
6.1%
None
ValueCountFrequency (%)
㈜ 2
100.0%

주소
Text

Distinct226
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-03-15T10:35:23.938636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length26.244541
Min length19

Characters and Unicode

Total characters6010
Distinct characters141
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique223 ?
Unique (%)97.4%

Sample

1st row경상북도 성주군 성주읍 성주농공단지길 49
2nd row경상북도 성주군 성주읍 성주농공단지길 37
3rd row경상북도 성주군 선남면 취곡1길 16-7
4th row경상북도 성주군 선남면 명관로 337-21
5th row경상북도 성주군 성주읍 금산리 515번지 외1필지
ValueCountFrequency (%)
경상북도 229
16.9%
성주군 229
16.9%
선남면 121
 
8.9%
외 59
 
4.4%
월항면 42
 
3.1%
용암면 29
 
2.1%
선노로 22
 
1.6%
1필지 21
 
1.6%
성주읍 19
 
1.4%
관용로 16
 
1.2%
Other values (355) 565
41.8%
2024-03-15T10:35:25.171880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1124
18.7%
주 284
 
4.7%
성 282
 
4.7%
도 240
 
4.0%
상 233
 
3.9%
경 231
 
3.8%
북 229
 
3.8%
군 229
 
3.8%
면 219
 
3.6%
1 188
 
3.1%
Other values (131) 2751
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3573
59.5%
Space Separator 1124
 
18.7%
Decimal Number 1026
 
17.1%
Dash Punctuation 138
 
2.3%
Open Punctuation 61
 
1.0%
Close Punctuation 61
 
1.0%
Other Punctuation 24
 
0.4%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 284
 
7.9%
성 282
 
7.9%
도 240
 
6.7%
상 233
 
6.5%
경 231
 
6.5%
북 229
 
6.4%
군 229
 
6.4%
면 219
 
6.1%
선 158
 
4.4%
지 127
 
3.6%
Other values (113) 1341
37.5%
Decimal Number
ValueCountFrequency (%)
1 188
18.3%
2 151
14.7%
3 133
13.0%
4 107
10.4%
6 88
8.6%
5 87
8.5%
7 83
8.1%
8 70
 
6.8%
9 63
 
6.1%
0 56
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
S 1
33.3%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
1124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3573
59.5%
Common 2434
40.5%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 284
 
7.9%
성 282
 
7.9%
도 240
 
6.7%
상 233
 
6.5%
경 231
 
6.5%
북 229
 
6.4%
군 229
 
6.4%
면 219
 
6.1%
선 158
 
4.4%
지 127
 
3.6%
Other values (113) 1341
37.5%
Common
ValueCountFrequency (%)
1124
46.2%
1 188
 
7.7%
2 151
 
6.2%
- 138
 
5.7%
3 133
 
5.5%
4 107
 
4.4%
6 88
 
3.6%
5 87
 
3.6%
7 83
 
3.4%
8 70
 
2.9%
Other values (5) 265
 
10.9%
Latin
ValueCountFrequency (%)
B 1
33.3%
S 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3573
59.5%
ASCII 2437
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1124
46.1%
1 188
 
7.7%
2 151
 
6.2%
- 138
 
5.7%
3 133
 
5.5%
4 107
 
4.4%
6 88
 
3.6%
5 87
 
3.6%
7 83
 
3.4%
8 70
 
2.9%
Other values (8) 268
 
11.0%
Hangul
ValueCountFrequency (%)
주 284
 
7.9%
성 282
 
7.9%
도 240
 
6.7%
상 233
 
6.5%
경 231
 
6.5%
북 229
 
6.4%
군 229
 
6.4%
면 219
 
6.1%
선 158
 
4.4%
지 127
 
3.6%
Other values (113) 1341
37.5%

업종번호
Text

Distinct86
Distinct (%)37.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-03-15T10:35:26.038120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length7
Mean length10.388646
Min length7

Characters and Unicode

Total characters2379
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)22.3%

Sample

1st row16231,
2nd row22212, 22213
3rd row22211, 22213, 22221, 22299, 28423, 28903
4th row22222, 22221, 28423, 28903
5th row16221,
ValueCountFrequency (%)
22299 29
 
8.1%
13992 24
 
6.7%
22232 17
 
4.8%
20203 17
 
4.8%
16102 16
 
4.5%
22241 13
 
3.6%
16101 10
 
2.8%
22211 10
 
2.8%
25112 10
 
2.8%
20202 10
 
2.8%
Other values (71) 201
56.3%
2024-03-15T10:35:27.294081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 785
33.0%
1 322
13.5%
, 297
 
12.5%
297
 
12.5%
9 212
 
8.9%
3 186
 
7.8%
0 112
 
4.7%
6 62
 
2.6%
5 46
 
1.9%
4 43
 
1.8%
Other values (2) 17
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1785
75.0%
Other Punctuation 297
 
12.5%
Space Separator 297
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 785
44.0%
1 322
18.0%
9 212
 
11.9%
3 186
 
10.4%
0 112
 
6.3%
6 62
 
3.5%
5 46
 
2.6%
4 43
 
2.4%
8 12
 
0.7%
7 5
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 297
100.0%
Space Separator
ValueCountFrequency (%)
297
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2379
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 785
33.0%
1 322
13.5%
, 297
 
12.5%
297
 
12.5%
9 212
 
8.9%
3 186
 
7.8%
0 112
 
4.7%
6 62
 
2.6%
5 46
 
1.9%
4 43
 
1.8%
Other values (2) 17
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2379
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 785
33.0%
1 322
13.5%
, 297
 
12.5%
297
 
12.5%
9 212
 
8.9%
3 186
 
7.8%
0 112
 
4.7%
6 62
 
2.6%
5 46
 
1.9%
4 43
 
1.8%
Other values (2) 17
 
0.7%

업종명
Text

Distinct80
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-03-15T10:35:28.486437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length18.475983
Min length6

Characters and Unicode

Total characters4231
Distinct characters150
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)18.8%

Sample

1st row목재 깔판류 및 기타 적재판 제조업
2nd row플라스틱 필름 제조업 외 1 종
3rd row플라스틱 선, 봉, 관 및 호스 제조업 외 5 종
4th row설치용 및 위생용 플라스틱제품 제조업 외 3 종
5th row목재문 및 관련제품 제조업
ValueCountFrequency (%)
제조업 220
16.7%
및 119
 
9.0%
플라스틱 110
 
8.3%
외 88
 
6.7%
기타 69
 
5.2%
종 60
 
4.6%
1 33
 
2.5%
제품 33
 
2.5%
그 28
 
2.1%
부직포 24
 
1.8%
Other values (106) 534
40.5%
2024-03-15T10:35:30.094393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1089
25.7%
제 333
 
7.9%
조 238
 
5.6%
업 230
 
5.4%
스 142
 
3.4%
플 128
 
3.0%
틱 128
 
3.0%
라 128
 
3.0%
및 119
 
2.8%
품 100
 
2.4%
Other values (140) 1596
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3042
71.9%
Space Separator 1089
 
25.7%
Decimal Number 61
 
1.4%
Other Punctuation 39
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 333
 
10.9%
조 238
 
7.8%
업 230
 
7.6%
스 142
 
4.7%
플 128
 
4.2%
틱 128
 
4.2%
라 128
 
4.2%
및 119
 
3.9%
품 100
 
3.3%
기 91
 
3.0%
Other values (128) 1405
46.2%
Decimal Number
ValueCountFrequency (%)
1 34
55.7%
2 13
 
21.3%
4 4
 
6.6%
3 4
 
6.6%
5 2
 
3.3%
7 1
 
1.6%
6 1
 
1.6%
8 1
 
1.6%
0 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
, 38
97.4%
. 1
 
2.6%
Space Separator
ValueCountFrequency (%)
1089
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3042
71.9%
Common 1189
 
28.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 333
 
10.9%
조 238
 
7.8%
업 230
 
7.6%
스 142
 
4.7%
플 128
 
4.2%
틱 128
 
4.2%
라 128
 
4.2%
및 119
 
3.9%
품 100
 
3.3%
기 91
 
3.0%
Other values (128) 1405
46.2%
Common
ValueCountFrequency (%)
1089
91.6%
, 38
 
3.2%
1 34
 
2.9%
2 13
 
1.1%
4 4
 
0.3%
3 4
 
0.3%
5 2
 
0.2%
7 1
 
0.1%
6 1
 
0.1%
8 1
 
0.1%
Other values (2) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3042
71.9%
ASCII 1189
 
28.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1089
91.6%
, 38
 
3.2%
1 34
 
2.9%
2 13
 
1.1%
4 4
 
0.3%
3 4
 
0.3%
5 2
 
0.2%
7 1
 
0.1%
6 1
 
0.1%
8 1
 
0.1%
Other values (2) 2
 
0.2%
Hangul
ValueCountFrequency (%)
제 333
 
10.9%
조 238
 
7.8%
업 230
 
7.6%
스 142
 
4.7%
플 128
 
4.2%
틱 128
 
4.2%
라 128
 
4.2%
및 119
 
3.9%
품 100
 
3.3%
기 91
 
3.0%
Other values (128) 1405
46.2%

종업원수
Real number (ℝ)

Distinct27
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4104803
Minimum0
Maximum60
Zeros2
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-03-15T10:35:30.538955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median5
Q39
95-th percentile19.6
Maximum60
Range60
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.8111798
Coefficient of variation (CV)0.91912798
Kurtosis18.504534
Mean7.4104803
Median Absolute Deviation (MAD)2
Skewness3.4238901
Sum1697
Variance46.39217
MonotonicityNot monotonic
2024-03-15T10:35:30.987119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
5 40
17.5%
4 24
10.5%
3 22
9.6%
2 19
8.3%
10 19
8.3%
7 16
 
7.0%
6 15
 
6.6%
8 15
 
6.6%
1 12
 
5.2%
9 8
 
3.5%
Other values (17) 39
17.0%
ValueCountFrequency (%)
0 2
 
0.9%
1 12
 
5.2%
2 19
8.3%
3 22
9.6%
4 24
10.5%
5 40
17.5%
6 15
 
6.6%
7 16
 
7.0%
8 15
 
6.6%
9 8
 
3.5%
ValueCountFrequency (%)
60 1
 
0.4%
37 1
 
0.4%
36 2
 
0.9%
26 1
 
0.4%
25 1
 
0.4%
21 1
 
0.4%
20 5
2.2%
19 3
1.3%
18 1
 
0.4%
17 1
 
0.4%

생산품
Text

Distinct207
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-03-15T10:35:31.951493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length42
Mean length10.030568
Min length1

Characters and Unicode

Total characters2297
Distinct characters327
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique195 ?
Unique (%)85.2%

Sample

1st row목재 파렛트
2nd rowPE필름
3rd row탱크(FRP소재), 연돌, 선박, 플라스틱 시트 및 판, 교통시설물, 기타 플라스틱 제품
4th rowFRP로 제작된 여과집진기, 세정탑, 굴뚝,안전유도블록 등
5th row창호재
ValueCountFrequency (%)
플라스틱 20
 
4.4%
부직포 12
 
2.7%
등 9
 
2.0%
및 9
 
2.0%
건축용 5
 
1.1%
제품 5
 
1.1%
시트 4
 
0.9%
톱밥 4
 
0.9%
필름 4
 
0.9%
재생칩 4
 
0.9%
Other values (320) 375
83.1%
2024-03-15T10:35:33.096661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
224
 
9.8%
, 103
 
4.5%
스 78
 
3.4%
재 66
 
2.9%
용 62
 
2.7%
라 52
 
2.3%
품 47
 
2.0%
플 45
 
2.0%
틱 44
 
1.9%
부 39
 
1.7%
Other values (317) 1537
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1855
80.8%
Space Separator 224
 
9.8%
Other Punctuation 108
 
4.7%
Uppercase Letter 49
 
2.1%
Close Punctuation 24
 
1.0%
Open Punctuation 24
 
1.0%
Lowercase Letter 12
 
0.5%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 78
 
4.2%
재 66
 
3.6%
용 62
 
3.3%
라 52
 
2.8%
품 47
 
2.5%
플 45
 
2.4%
틱 44
 
2.4%
부 39
 
2.1%
기 37
 
2.0%
포 36
 
1.9%
Other values (284) 1349
72.7%
Uppercase Letter
ValueCountFrequency (%)
P 13
26.5%
E 7
14.3%
F 5
 
10.2%
R 5
 
10.2%
D 3
 
6.1%
A 2
 
4.1%
L 2
 
4.1%
N 2
 
4.1%
S 2
 
4.1%
C 2
 
4.1%
Other values (6) 6
12.2%
Lowercase Letter
ValueCountFrequency (%)
t 2
16.7%
f 2
16.7%
m 1
8.3%
o 1
8.3%
a 1
8.3%
r 1
8.3%
e 1
8.3%
l 1
8.3%
i 1
8.3%
v 1
8.3%
Other Punctuation
ValueCountFrequency (%)
, 103
95.4%
. 4
 
3.7%
/ 1
 
0.9%
Space Separator
ValueCountFrequency (%)
224
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1855
80.8%
Common 381
 
16.6%
Latin 61
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 78
 
4.2%
재 66
 
3.6%
용 62
 
3.3%
라 52
 
2.8%
품 47
 
2.5%
플 45
 
2.4%
틱 44
 
2.4%
부 39
 
2.1%
기 37
 
2.0%
포 36
 
1.9%
Other values (284) 1349
72.7%
Latin
ValueCountFrequency (%)
P 13
21.3%
E 7
 
11.5%
F 5
 
8.2%
R 5
 
8.2%
D 3
 
4.9%
A 2
 
3.3%
L 2
 
3.3%
N 2
 
3.3%
S 2
 
3.3%
C 2
 
3.3%
Other values (16) 18
29.5%
Common
ValueCountFrequency (%)
224
58.8%
, 103
27.0%
) 24
 
6.3%
( 24
 
6.3%
. 4
 
1.0%
/ 1
 
0.3%
3 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1855
80.8%
ASCII 442
 
19.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
224
50.7%
, 103
23.3%
) 24
 
5.4%
( 24
 
5.4%
P 13
 
2.9%
E 7
 
1.6%
F 5
 
1.1%
R 5
 
1.1%
. 4
 
0.9%
D 3
 
0.7%
Other values (23) 30
 
6.8%
Hangul
ValueCountFrequency (%)
스 78
 
4.2%
재 66
 
3.6%
용 62
 
3.3%
라 52
 
2.8%
품 47
 
2.5%
플 45
 
2.4%
틱 44
 
2.4%
부 39
 
2.1%
기 37
 
2.0%
포 36
 
1.9%
Other values (284) 1349
72.7%

공장홈페이지
Text

MISSING 

Distinct13
Distinct (%)92.9%
Missing215
Missing (%)93.9%
Memory size1.9 KiB
2024-03-15T10:35:33.746001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length16.714286
Min length12

Characters and Unicode

Total characters234
Distinct characters33
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)85.7%

Sample

1st rowwww.kdens.kr
2nd rowwww.road123.com
3rd rowwww.jwkor.com
4th rowwww.cresin.com
5th rowwww.재생수지.com
ValueCountFrequency (%)
www.hyecotex.com 2
14.3%
www.kdens.kr 1
 
7.1%
www.road123.com 1
 
7.1%
www.jwkor.com 1
 
7.1%
www.cresin.com 1
 
7.1%
www.재생수지.com 1
 
7.1%
www.oceanpolymer.com 1
 
7.1%
www.winlux.co.kr 1
 
7.1%
www.jeonbo.co.kr 1
 
7.1%
www.jwon.co.kr 1
 
7.1%
Other values (3) 3
21.4%
2024-03-15T10:35:34.679122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 42
17.9%
. 33
14.1%
o 25
10.7%
c 16
 
6.8%
r 13
 
5.6%
e 12
 
5.1%
n 11
 
4.7%
k 10
 
4.3%
m 9
 
3.8%
t 6
 
2.6%
Other values (23) 57
24.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 190
81.2%
Other Punctuation 37
 
15.8%
Other Letter 4
 
1.7%
Decimal Number 3
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 42
22.1%
o 25
13.2%
c 16
 
8.4%
r 13
 
6.8%
e 12
 
6.3%
n 11
 
5.8%
k 10
 
5.3%
m 9
 
4.7%
t 6
 
3.2%
y 4
 
2.1%
Other values (13) 42
22.1%
Other Letter
ValueCountFrequency (%)
지 1
25.0%
수 1
25.0%
생 1
25.0%
재 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 33
89.2%
/ 3
 
8.1%
: 1
 
2.7%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
3 1
33.3%
2 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 190
81.2%
Common 40
 
17.1%
Hangul 4
 
1.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 42
22.1%
o 25
13.2%
c 16
 
8.4%
r 13
 
6.8%
e 12
 
6.3%
n 11
 
5.8%
k 10
 
5.3%
m 9
 
4.7%
t 6
 
3.2%
y 4
 
2.1%
Other values (13) 42
22.1%
Common
ValueCountFrequency (%)
. 33
82.5%
/ 3
 
7.5%
: 1
 
2.5%
1 1
 
2.5%
3 1
 
2.5%
2 1
 
2.5%
Hangul
ValueCountFrequency (%)
지 1
25.0%
수 1
25.0%
생 1
25.0%
재 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 230
98.3%
Hangul 4
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 42
18.3%
. 33
14.3%
o 25
10.9%
c 16
 
7.0%
r 13
 
5.7%
e 12
 
5.2%
n 11
 
4.8%
k 10
 
4.3%
m 9
 
3.9%
t 6
 
2.6%
Other values (19) 53
23.0%
Hangul
ValueCountFrequency (%)
지 1
25.0%
수 1
25.0%
생 1
25.0%
재 1
25.0%

Interactions

2024-03-15T10:35:19.078058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:35:18.597264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:35:19.292982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:35:18.818084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:35:34.832351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종번호업종명종업원수공장홈페이지
연번1.0000.2930.3350.1900.924
업종번호0.2931.0001.0000.6891.000
업종명0.3351.0001.0000.7271.000
종업원수0.1900.6890.7271.0000.000
공장홈페이지0.9241.0001.0000.0001.000
2024-03-15T10:35:35.068188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종업원수
연번1.000-0.205
종업원수-0.2051.000

Missing values

2024-03-15T10:35:19.704556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:35:20.164700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번업체명주소업종번호업종명종업원수생산품공장홈페이지
01(주)파인패키징경상북도 성주군 성주읍 성주농공단지길 4916231,목재 깔판류 및 기타 적재판 제조업1목재 파렛트<NA>
12(주)경농산업경상북도 성주군 성주읍 성주농공단지길 3722212, 22213플라스틱 필름 제조업 외 1 종26PE필름<NA>
23(주)경동이앤에스경상북도 성주군 선남면 취곡1길 16-722211, 22213, 22221, 22299, 28423, 28903플라스틱 선, 봉, 관 및 호스 제조업 외 5 종6탱크(FRP소재), 연돌, 선박, 플라스틱 시트 및 판, 교통시설물, 기타 플라스틱 제품www.kdens.kr
34(주)경동하이테크경상북도 성주군 선남면 명관로 337-2122222, 22221, 28423, 28903설치용 및 위생용 플라스틱제품 제조업 외 3 종7FRP로 제작된 여과집진기, 세정탑, 굴뚝,안전유도블록 등<NA>
45(주)경성목재경상북도 성주군 성주읍 금산리 515번지 외1필지16221,목재문 및 관련제품 제조업5창호재<NA>
56(주)금성산업경상북도 성주군 월항면 월항농공단지1길 41 (금성산업)22241, 22249운송장비 조립용 플라스틱제품 제조업 외 1 종20코카콜라플라스틱컵<NA>
67(주)금성산업 성주제2공장경상북도 성주군 월항면 월항농공단지1길 42-11 ((주)신화캐미칼)22241, 22249운송장비 조립용 플라스틱제품 제조업 외 1 종36차량용밧데리케이스<NA>
78(주)금창이피시경상북도 성주군 선남면 문방공단길 69 ((주)금창)20203,혼성 및 재생 플라스틱 소재 물질 제조업10ENG플라스틱칩<NA>
89(주)대도화학경상북도 성주군 선남면 관용로 47522213,플라스틱 시트 및 판 제조업10포장용기용 시트<NA>
910(주)대도화학 제2공장경상북도 성주군 선남면 관용로 46922213,플라스틱 시트 및 판 제조업10포장용기용 시트<NA>
연번업체명주소업종번호업종명종업원수생산품공장홈페이지
219220현대테크경상북도 성주군 선남면 선노로 19 외 2필지22232,포장용 플라스틱 성형용기 제조업5계량기 케이스<NA>
220221현대파이프(주)경상북도 성주군 월항면 월항농공단지1길 6222211,플라스틱 선, 봉, 관 및 호스 제조업5플라스틱 호스, 기타 플라스틱 제품 제조업<NA>
221222현동프라스틱경상북도 성주군 선남면 선노로 2022299,그 외 기타 플라스틱 제품 제조업4플라스틱용기<NA>
222223현성플라스틱경상북도 성주군 선남면 선노로 582-17, 외 5필지22299,그 외 기타 플라스틱 제품 제조업7플라스틱 배합원료(ABS RESIN)<NA>
223224현진ITS경상북도 성주군 선남면 명관로 446-3513223,커튼 및 유사제품 제조업7커튼<NA>
224225현진폴리머경상북도 성주군 선남면 선월로 29 (선남면)20203,혼성 및 재생 플라스틱 소재 물질 제조업5안료용 칩<NA>
225226화남산업경상북도 성주군 대가면 도남2길 21 외 1필지13992,부직포 및 펠트 제조업4부직포<NA>
226227화진경상북도 성주군 대가면 봉흥로 308-1722223,플라스틱 창호 제조업4PVC샤시 창틀<NA>
227228황금 ENG경상북도 성주군 선남면 문방1길 61-11 (총 2 필지) 외 1필지22232,포장용 플라스틱 성형용기 제조업3강화플라스틱 등http://blog.daum.net/frpeng
228229흥일산업경상북도 성주군 용암면 사곡길 190 외 5필지16102,표면 가공 목재 및 특정 목적용 제재목 제조업1폐목재고형연료제품(WCF)<NA>